Data bulletin (Center for Studying Health System Change)最新文献

This Data Bulletin is based on data from the Milliman USA Health Cost Index (HCI) ($0 deductible), which is designed to forecast claims trends faced by private insurers and the U.S. Bureau of Labor Statistics' National Compensation Survey to track hourly compensation costs for nurses and Producer Price Index for general medical and surgical hospitals to track hospital prices. The HCI classifies spending on services performed in freestanding facilities in its hospital outpatient category, which is consistent with how insurers classify such services. Due to data limitations, the HCI includes spending for Medicaid and uninsured patients, which can cause HCI trends to differ from privately insured trends. The authors have adjusted the HCI estimates to remove the effect of distinct Medicaid hospital price trends. As with most economic data, the HCI is subject to periodic retroactive revisions.

This Data Bulletin is based on physicians' reports of net income from the practice of medicine from the HSC Community Tracking Study Physician Survey in 1996-97, 1998-99 and 2000-01. Net income equals income from the practice of medicine after expenses and before taxes. Reported income is lagged--for example, in the 2000-01 survey, physicians provide 1999 net income. Adjustments for inflation use the Bureau of Labor Statistics (BLS) online inflation calculator.

This Data Bulletin is based on data from the Milliman USA Health Cost Index ($0 deductible), which is designed to reflect claims increases faced by private insurers; the Kaiser Family Foundation/Health Research and Educational Trust survey of employer-based health plans for 1999- 2002; the KPMG survey of employer-based plans for 1991-98; and the U.S. Bureau of Labor Statistics Employment, Hours and Earnings series to track payroll costs and Hospital Producer Price Index to track hospital prices.

This Data Bulletin analyzes changes in an aging index that measures the extent to which average health care spending per person under age 65 changes from year to year due solely to the aging of the U.S. population, while holding all other cost drivers constant.

This Data Bulletin is based on data from the Milliman USA Health Cost Index ($0 deductible), which is designed to reflect claims increases faced by private insurers; the Kaiser Family Foundation/Health Research and Educational Trust survey of employer-based health plans for 1999-2001; the KPMG survey of employer-based plans for 1991-98; the U.S. Bureau of Labor Statistics Employment, Hours and Earnings series to track payroll costs; and Center for Studying Health System Change 2000-01 site visits (see www.hschange.org).

This Data Bulletin is based on data from the Milliman & Robertson Health Cost Index, which is designed to reflect cost increases faced by private insurers; the Kaiser Family Foundation/Hospital Research and Education Trust survey of employer-based health plans for 1998-2000; and the KPMG survey of employer-based health plans for 1993-1998.

This Data Bulletin presents findings from the Household Survey, a nationally representative telephone survey of the civilian, noninstitutionalized population, as well as 12 randomly selected communities conducted as part of the Community Tracking Study. The 1996-1997 survey includes nearly 33,000 families and 60,000 individuals, and the 1998-1999 survey includes approximately 32,000 families and 59,000 individuals.

This Data Bulletin presents findings from the 1996-1997 Household Survey, a nationally representative telephone survey of the civilian, noninstitutionalized population conducted as part of the Community Tracking Study. The 1996-1997 survey includes nearly 33,000 families and 60,000 individuals.

This Data Bulletin presents findings from two rounds of the Household Survey, a nationally representative telephone survey of the civilian, noninstitutionalized population conducted as part of the Community Tracking Study. The 1996-1997 survey includes nearly 33,0000 families and 60,000 individuals, while the 1998-1999 survey includes about 32,000 families and 59,000 individuals. This analysis does not include people who lack health insurance. All comparisons and differences described are statistically significant as the p<.05 level.